PSYCH OpenIR
Motive structure underlying the use of intelligent connected vehicles
Lin, Li1; Zhang, Jingyu1; Zhang, Liang1; Cao, Jianqin1; Wang, Jifang2; Luo, Xiaojun2; Wang, Ya2
2020-04
Conference Name2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA
Source PublicationConference on Human Factors in Computing Systems - Proceedings
Conference Date2020, April 25, 2020 - April 30, 2020
Conference Place不详
Contribution Rank1
Abstract

Intelligent connected vehicles (ICVs) are the foundation to create an intelligent transport eco-system. While the population of ICV users is gradually increasing, the motives underlying use of ICVs remain unclear. Here, we developed a scale to measure motives for ICV use. Taken the results of explorative factor analysis and confirmatory factor analysis together, we suggested a four-factor model: symbolic, instrumental, affective-self, and affective-other motives. We found that ICV users with different characteristics in age, annual income and driving distance evaluated the importance of motives differently. ICV users who are richer and drive longer distances are more likely to show higher symbolic and affective-self motives. Also, users' symbolic motive grows with age. Finally, we found that symbolic and affective motives correlated highly with social norms and loyalty, while instrumental motives related to perceived control feelings toward operating the vehicle. These findings shed novel insights on how to design ICVs and make related policies.

Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/32461
Collection中国科学院心理研究所
Affiliation1.Institute of Psychology Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China
2.Baidu Intelligent Driving Experience Design Center, Beijing, China
Recommended Citation
GB/T 7714
Lin, Li,Zhang, Jingyu,Zhang, Liang,et al. Motive structure underlying the use of intelligent connected vehicles[C],2020.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Lin, Li]'s Articles
[Zhang, Jingyu]'s Articles
[Zhang, Liang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Lin, Li]'s Articles
[Zhang, Jingyu]'s Articles
[Zhang, Liang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Lin, Li]'s Articles
[Zhang, Jingyu]'s Articles
[Zhang, Liang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.